Computational prediction of potential aggravating mechanisms of polyethylene terephthalate microplastics in diabetic foot ulcers: An integrated in silico approach combining network toxicology, bioinformatics, machine learning, and molecular dynamics simulations.
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| Title: | Computational prediction of potential aggravating mechanisms of polyethylene terephthalate microplastics in diabetic foot ulcers: An integrated in silico approach combining network toxicology, bioinformatics, machine learning, and molecular dynamics simulations. |
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| Authors: | Li D; Beijing University of Chinese Medicine Third Affiliated Hospital, Beijing, China.; Beijing University of Chinese Medicine, Beijing, China., Ma Z; Beijing University of Chinese Medicine Third Affiliated Hospital, Beijing, China., Li Z; Beijing University of Chinese Medicine Third Affiliated Hospital, Beijing, China.; Beijing University of Chinese Medicine, Beijing, China., Fu Z; Beijing University of Chinese Medicine Third Affiliated Hospital, Beijing, China.; Beijing University of Chinese Medicine, Beijing, China., Guo H; Beijing University of Chinese Medicine Third Affiliated Hospital, Beijing, China.; Beijing University of Chinese Medicine, Beijing, China., Chen Z; Beijing Miyun District Hospital of Traditional Chinese Medicine (Beijing University of Chinese Medicine Third Affiliated Hospital, Miyun Branch), Beijing, China. |
| Source: | Medicine [Medicine (Baltimore)] 2026 Jun 05; Vol. 105 (23), pp. e49208. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Lippincott Williams & Wilkins Country of Publication: United States NLM ID: 2985248R Publication Model: Print Cited Medium: Internet ISSN: 1536-5964 (Electronic) Linking ISSN: 00257974 NLM ISO Abbreviation: Medicine (Baltimore) Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1536-5964 |
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| DOI: | 10.1097/MD.0000000000049208 |
